Optimal Allocation of Hardware in Industrial FEM Problem-Solving.

• Main Author: Engelsöy, Julius
• Format: Others
• Language: English
• Published: KTH, Matematik (Inst.) 2014
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147982

This thesis aims to solve the problem of optimizing the allocation of hardware in industrial FEM problem-solving|a problem faced by, e.g., truck manufacturer Scania, which has requested this thesis and has provided some relevant data. The objective function to be minimized is taken to be the total processing time of a given FEM job distribution. Constraints include the available hardware and the number of accessible license tokens - the latter being the "currency" required to run the problem-solving software. The optimization problem is nonlinear and nonconvex and ought to be solved by use of a suitable algorithm. While the focus of this thesis is on modeling and problem formulation, a search for a global optimal solution was performed by use of MATLAB R. It is concluded that although the model and problem formulation include several areas of improvement, this thesis may hopefully contribute to streamlining Scania's FEM problem-solving process.